Torrent Info
| Title | Click (Packt.Step.by.Step.Machine.Learning.with.Python) |
| Category | Movies |
| Size | 953.60MB |
Movie Info
| Title | Click |
| Year | 2006 |
| Country | USA |
| Category | Comedy, Drama, Fantasy |
| Director | Frank Coraci |
| Actors | Adam Sandler, Kate Beckinsale, Christopher Walken, David Hasselhoff |
| Description | A workaholic architect finds a universal remote that allows him to fast-forward and rewind to different parts of his life. Complications arise when the remote starts to overrule his choices. |
Files List
| Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here. | |
| .DS_Store | 6.00KB |
| .DS_Store | 6.00KB |
| .DS_Store | 6.00KB |
| .DS_Store | 6.00KB |
| .DS_Store | 6.00KB |
| .DS_Store | 6.00KB |
| 0_getting.py | 303B |
| 198810101_20151231.csv | 543.79KB |
| 1decision_tree_submit.py | 9.81KB |
| 1email_spam_tfidf_submit.py | 2.62KB |
| 1histogram.py | 529B |
| 1imputation.py | 3.25KB |
| 1one_hot_encode.py | 2.42KB |
| 1stock_price_prediction.py | 7.48KB |
| 20051201_20151210.csv | 644B |
| 2avazu_ctr.py | 2.06KB |
| 2clean_words.py | 723B |
| 2feature_selection.py | 1.12KB |
| 2linear_regression.py | 4.72KB |
| 2logistic_function.py | 833B |
| 2topic_categorization.py | 5.04KB |
| 3decision_tree_regression.py | 7.08KB |
| 3dimensionality_reduction.py | 635B |
| 3logistic_regression_from_scratch.py | 7.60KB |
| 3plot_rbf_kernels.py | 1.13KB |
| 3post_clustering.py | 919B |
| 4ctg.py | 1.14KB |
| 4generic_feature_engineering.py | 344B |
| 4random_forest_feature_selection.py | 1.68KB |
| 4support_vector_regression.py | 439B |
| 4topic_model.py | 998B |
| 5save_reuse_monitor_model.py | 1.00KB |
| 5scikit_logistic_regression.py | 5.24KB |
| Best Practices in Data Preparation Stage.mp4 | 31.86MB |
| Best Practices in the Deployment and Monitoring Stage.mp4 | 13.90MB |
| Best Practices in the Model Training, Evaluation, and Selection Stage.mp4 | 10.84MB |
| Best Practices in the Training Sets Generation Stage.mp4 | 20.46MB |
| Brief Overview of Advertising Click-Through Prediction.mp4 | 11.00MB |
| Brief Overview of the Stock Market And Stock Price.mp4 | 7.05MB |
| Choosing Between the Linear and the RBF Kernel.mp4 | 14.21MB |
| Classifier Performance Evaluation.mp4 | 36.98MB |
| Click-Through Prediction with Decision Tree.mp4 | 24.99MB |
| Click-Through Prediction with Logistic Regression by Gradient Descent.mp4 | 75.32MB |
| Clustering.mp4 | 10.44MB |
| config.py | 3.38KB |
| CTG.xls | 1.66MB |
| Data Acquisition and Feature Generation.mp4 | 12.29MB |
| Data Preprocessing.mp4 | 9.15MB |
| Decision Tree Classifier.mp4 | 36.69MB |
| Decision Tree Regression.mp4 | 27.45MB |
| email_spam.py | 10.28KB |
| Exploring Naïve Bayes.mp4 | 5.10MB |
| Feature Selection via Random Forest.mp4 | 16.04MB |
| Fetal State Classification with SVM.mp4 | 21.84MB |
| Getting Started with Classification.mp4 | 8.76MB |
| Getting the Newsgroups Data.mp4 | 14.10MB |
| globalnames | 1011B |
| history | 14B |
| Installing Software and Setting Up.mp4 | 22.01MB |
| Introduction to Machine Learning.mp4 | 13.02MB |
| Linear Regression.mp4 | 30.28MB |
| Logistic Regression Classifier.mp4 | 37.40MB |
| Machine Learning with Python.mp4 | 1.61MB |
| Machine Learning with Python.mp4 | 1.61MB |
| Model Tuning and cross-validation.mp4 | 18.26MB |
| News topic Classification with Support Vector Machine.mp4 | 36.37MB |
| objectdb | 2.21KB |
| One-Hot Encoding - Converting Categorical Features to Numerical.mp4 | 21.42MB |
| Predicting Stock Price with Regression Algorithms.mp4 | 24.42MB |
| Random Forest - Feature Bagging of Decision Tree.mp4 | 18.28MB |
| Recap and Inverse Document Frequency.mp4 | 16.63MB |
| Regression Performance Evaluation.mp4 | 12.72MB |
| Stock Price Prediction with Regression Algorithms.mp4 | 34.23MB |
| Support Vector Regression.mp4 | 8.09MB |
| The Course Overview.mp4 | 17.18MB |
| The Implementations of Decision Tree.mp4 | 22.81MB |
| The Implementations of SVM.mp4 | 19.68MB |
| The Kernels of SVM.mp4 | 11.79MB |
| The Mechanics of Naïve Bayes.mp4 | 7.33MB |
| The Mechanics of SVM.mp4 | 9.16MB |
| The Naïve Bayes Implementation.mp4 | 57.36MB |
| Thinking about Features.mp4 | 20.34MB |
| Topic Modeling.mp4 | 13.04MB |
| Touring Powerful NLP Libraries in Python.mp4 | 40.29MB |
| Understanding NLP.mp4 | 15.97MB |
| Visualization.mp4 | 11.53MB |
Similar Torrents
Distribution statistics by country
| Total | 0 |
| IP List | List of IP addresses which were distributed this torrent |